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2013
The ant colony optimization algorithm (ACO) is an evolutionary meta-heuristic algorithm based on a graph representation that has been applied successfully to solve various hard combinatorial optimization problems. Initially proposed by Marco Dorigo in 1992 in his PhD thesis [49], the main idea of ACO is to model the problem as the search for a minimum ...
Muhammet Ünal +3 more
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The ant colony optimization algorithm (ACO) is an evolutionary meta-heuristic algorithm based on a graph representation that has been applied successfully to solve various hard combinatorial optimization problems. Initially proposed by Marco Dorigo in 1992 in his PhD thesis [49], the main idea of ACO is to model the problem as the search for a minimum ...
Muhammet Ünal +3 more
openaire +1 more source
Bacterial motility: machinery and mechanisms
Nature Reviews Microbiology, 2021Navish Wadhwa, Howard C Berg
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Colony-stimulating factors in inflammation and autoimmunity
Nature Reviews Immunology, 2008John A Hamilton
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Anti-colony-stimulating factor therapies for inflammatory and autoimmune diseases
Nature Reviews Drug Discovery, 2016John A Hamilton, Andrew D Cook
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A comprehensive survey: artificial bee colony (ABC) algorithm and applications
Artificial Intelligence Review, 2012Dervis Karaboga +2 more
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